Title |
A Ranking System for Reference Libraries of DNA Barcodes: Application to Marine Fish Species from Portugal
|
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Published in |
PLOS ONE, April 2012
|
DOI | 10.1371/journal.pone.0035858 |
Pubmed ID | |
Authors |
Filipe O. Costa, Monica Landi, Rogelia Martins, Maria H. Costa, Maria E. Costa, Miguel Carneiro, Maria J. Alves, Dirk Steinke, Gary R. Carvalho |
Abstract |
The increasing availability of reference libraries of DNA barcodes (RLDB) offers the opportunity to the screen the level of consistency in DNA barcode data among libraries, in order to detect possible disagreements generated from taxonomic uncertainty or operational shortcomings. We propose a ranking system to attribute a confidence level to species identifications associated with DNA barcode records from a RLDB. Here we apply the proposed ranking system to a newly generated RLDB for marine fish of Portugal. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Brazil | 2 | 1% |
Germany | 1 | <1% |
France | 1 | <1% |
Ireland | 1 | <1% |
Turkey | 1 | <1% |
Portugal | 1 | <1% |
Zambia | 1 | <1% |
Finland | 1 | <1% |
Other | 5 | 3% |
Unknown | 151 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 51 | 30% |
Student > Ph. D. Student | 23 | 14% |
Student > Master | 21 | 13% |
Student > Bachelor | 16 | 10% |
Other | 8 | 5% |
Other | 24 | 14% |
Unknown | 25 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 100 | 60% |
Biochemistry, Genetics and Molecular Biology | 16 | 10% |
Environmental Science | 12 | 7% |
Earth and Planetary Sciences | 4 | 2% |
Engineering | 2 | 1% |
Other | 7 | 4% |
Unknown | 27 | 16% |